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Fertil Steril. 2013 Mar 1;99(3):745-752.e6. doi: 10.1016/j.fertnstert.2012.10.041. Epub 2012 Nov 29.

Identification of a novel gene set in human cumulus cells predictive of an oocyte's pregnancy potential.

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1
Gema Diagnostics, Ann Arbor, Michigan, USA.

Abstract

OBJECTIVE:

To identify a gene expression signature in human cumulus cells (CCs) predictive of pregnancy outcome across multiple clinics, taking into account the clinic and patient variations inherent in IVF practice.

DESIGN:

Retrospective analysis of single human cumulus-oocyte complexes with the use of a combined microarray and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) approach.

SETTING:

Multiple private IVF clinics.

PATIENT(S):

Fifty-eight patients. Samples from 55 patients underwent qRT-PCR analysis, and samples from 27 patients resulted in live birth.

INTERVENTION(S):

Gene expression analysis for correlation with pregnancy outcome on individual human CCs collected immediately after oocyte retrieval. Pregnancy prediction analysis used leave-one-out cross-validation with weighted voting.

MAIN OUTCOME MEASURE(S):

Combinatorial expression of 12 genes in 101 samples from 58 patients.

RESULT(S):

We found a set of 12 genes predictive of pregnancy outcome based on their expression levels in CCs. This pregnancy prediction model had an accuracy of 78%, a sensitivity of 72%, a specificity of 84%, a positive predictive value of 81%, and a negative predictive value of 76%. Receiver operating characteristic analysis found an area under the curve of 0.763 ± 0.079, significantly greater than 0.5 (random chance prediction).

CONCLUSION(S):

Gene expression analysis in human CCs should be considered in identifying oocytes with a high potential to lead to pregnancy in IVF-ET.

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